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An algorithm for swarm robot to avoid multiple dynamic obstacles and to catch the moving target

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dc.title An algorithm for swarm robot to avoid multiple dynamic obstacles and to catch the moving target en
dc.contributor.author Diep, Quoc Bao
dc.contributor.author Zelinka, Ivan
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.ispartof Artificial Intelligence And Soft Computing, ICAISC 2019, Pt II
dc.identifier.issn 0302-9743 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-03-020914-8
dc.date.issued 2019
utb.relation.volume 11509 LNAI
dc.citation.spage 666
dc.citation.epage 675
dc.event.title 18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019
dc.event.location Zakopane
utb.event.state-en Poland
utb.event.state-cs Polsko
dc.event.sdate 2019-06-16
dc.event.edate 2019-06-20
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-030-20915-5_59
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-030-20915-5_59
dc.subject self-organizing migrating algorithm en
dc.subject obstacle avoidance en
dc.subject swarm robot en
dc.subject path planning en
dc.description.abstract This paper presents a method for swarm robot to catch the moving target and to avoid multiple dynamic obstacles in the unknown environment. An imaginary map is built, including the highest mountain, some small hills, and a lowest lying land, respectively corresponding to the starting position of the robot, the detected obstacles, and the target. The robot is considered as a flow of water flowing from high to low. The flow of water is the robot trajectory that is divided into a set of points created by an algorithm called Self-organizing migrating algorithm. Simulation results are also presented to show that the obstacle avoidance and catching target task can be reached using this method. © Springer Nature Switzerland AG 2019. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008819
utb.identifier.obdid 43880087
utb.identifier.scopus 2-s2.0-85066761499
utb.identifier.wok 000501606900059
utb.source d-scopus
dc.date.accessioned 2019-08-13T10:17:23Z
dc.date.available 2019-08-13T10:17:23Z
dc.description.sponsorship VSB-Technical University of Ostrava [SGS 2019/137]; Ministry of Education, Youth and Sports of the Czech RepublicMinistry of Education, Youth & Sports - Czech Republic [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under the Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]
utb.ou CEBIA-Tech
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Quoc Bao Diep 1 Ivan Zelinka 1, Roman Senkerik 2 1 Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, Ostrava, Czech Republic diepquocbao@gmail.com, ivan.zelinka@vsb.cz 2 Department of Informatics and Artificial Intelligence, Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, 76005 Zlín, Czech Republic senkerik@utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship The following grants are acknowledged for the financial support provided for this research: Grant of SGS 2019/137, VSB-Technical University of Ostrava. The Author Roman Senkerik would like to acknowledge the support of the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project no. LO1303 (MSMT-7778/2014), further the European Regional Development Fund under the Project CEBIA-Tech no. CZ.1.05/2.1.00/03.0089.
utb.wos.affiliation [Diep, Quoc Bao; Zelinka, Ivan] Tech Univ Ostrava, Fac Elect Engn & Comp Sci, 17 Listopadu 15, Ostrava, Czech Republic; [Senkerik, Roman] Tomas Bata Univ Zlin, Fac Appl Informat, Dept Informat & Artificial Intelligence, Nad Stranemi 4511, Zlin 76005, Czech Republic
utb.scopus.affiliation Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, 17. listopadu 15, Ostrava, Czech Republic; Department of Informatics and Artificial Intelligence, Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, Zlín, 76005, Czech Republic
utb.fulltext.projects SGS 2019/137,
utb.fulltext.projects LO1303
utb.fulltext.projects MSMT-7778/2014
utb.fulltext.projects CZ.1.05/2.1.00/03.0089
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou Department of Informatics and Artificial Intelligence
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